Daily Cyber Briefing

The CISO Life
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 The Daily Cyber Briefing delivers concise, no-fluff updates on the latest cybersecurity threats, breaches, and regulatory changes. Each episode equips listeners with actionable insights to stay ahead of emerging risks in today’s fast-moving digital landscape. 

  1. 2D AGO

    Daily Cyber & AI Briefing — 2026-05-08

    Daily Cyber & AI Briefing with Michael Housch. This episode was published automatically and includes the assembled audio plus full transcript. TranscriptToday’s cyber and AI risk environment is evolving at a pace that challenges even the most prepared organizations. We’re seeing a surge in both technical exploits and governance dilemmas, with multiple zero-day vulnerabilities under active attack and a wave of high-profile breaches making headlines. At the same time, the rapid integration of artificial intelligence into enterprise and physical security systems is creating new opportunities—but also introducing new risks. Global regulators and industry leaders are emphasizing the need for stronger governance, more robust identity controls, and, crucially, human oversight. Let’s start with the most urgent technical threat on the radar: the Ivanti Endpoint Manager Mobile, or EPMM, zero-day vulnerability. The Cybersecurity and Infrastructure Security Agency, CISA, has issued an emergency directive requiring all federal agencies to patch this critical flaw—tracked as CVE-2026-6973—within just four days. This is a direct response to reports of active exploitation in the wild, where attackers are leveraging the vulnerability to gain unauthorized access to sensitive systems. The urgency of CISA’s directive highlights a broader truth: rapid vulnerability management isn’t just a best practice, it’s now a baseline requirement for resilience. If you’re in the private sector, don’t assume this is just a government problem. Ivanti’s EPMM is widely deployed across industries, and attackers are opportunistic. Security leaders need to assess their organization’s exposure immediately, prioritize patching, and accelerate patch cycles. Delays in remediation can open the door to lateral movement, data exfiltration, and even ransomware. The lesson here is clear: in today’s environment, the window between vulnerability disclosure and exploitation is shrinking. Organizations that can’t keep up with rapid patching are at heightened risk. Now, let’s turn to the Trellix breach, which underscores a different but equally significant risk: the security of security vendors themselves. The ransomware group RansomHouse claims to have breached Trellix and accessed portions of the company’s source code. This is a sobering reminder that even the companies building the tools we rely on for defense are not immune to compromise. When a security vendor is breached, the downstream risk extends to every customer using their products. Exposure of source code can facilitate further exploits, enable attackers to identify new vulnerabilities, or even launch supply chain attacks. For CISOs and security teams, this means monitoring for vendor advisories is critical. Don’t just assume your tools are safe because they come from a reputable provider. Consider additional controls around third-party software, and be ready to respond quickly if your vendors are affected. Supply chain security is no longer a theoretical risk—it’s an operational reality. Moving to cloud and container environments, we’re seeing a new wave of sophisticated malware campaigns. A modular remote access trojan, or RAT, is currently targeting cloud credentials and capturing screenshots, while the PCPJack worm is actively going after Docker, Kubernetes, Redis, and MongoDB deployments, stealing credentials wherever it can. These attacks highlight a growing trend: adversaries are getting smarter about targeting cloud-native and containerized environments, which often have complex configurations and, sometimes, overlooked security gaps. If your organization relies on these platforms, it’s time to review your segmentation strategies, credential management policies, and monitoring capabilities. Segmentation can limit the blast radius of an attack, strong credential management reduces the risk of compromise, and robust monitoring helps detect anomalous acti

    14 min

  2. 3D AGO

    Daily Cyber & AI Briefing — 2026-05-07

    Daily Cyber & AI Briefing with Michael Housch. This episode was published automatically and includes the assembled audio plus full transcript. TranscriptToday’s cyber and AI risk environment is defined by a mix of persistent vulnerabilities, evolving attack techniques, and the accelerating integration of artificial intelligence into business operations. The stakes are high for organizations across sectors, as attackers—especially state-sponsored groups—continue to exploit weaknesses in critical infrastructure, identity systems, and supply chains. At the same time, the convergence of AI and cybersecurity is reshaping both the threat landscape and the governance models required to manage risk. Let’s start with one of the most significant developments: the exploitation of a zero-day vulnerability in Palo Alto Networks firewalls. For almost a month before the issue was publicly disclosed, state-sponsored threat actors had been actively targeting this flaw. The vulnerability allowed attackers to gain root access to affected devices, effectively giving them the keys to the kingdom for organizations that rely on these firewalls as a primary line of defense. This incident is a stark reminder of how quickly adversaries can move—and how critical it is for organizations to have rapid patch management processes in place. When perimeter devices are compromised, the potential impact can cascade across entire networks, putting sensitive data and operations at risk. Continuous monitoring, robust network segmentation, and a layered defense strategy are essential to limit exposure and contain the blast radius when, not if, vulnerabilities are exploited. The Palo Alto Networks case also highlights the importance of timely threat intelligence sharing. Organizations that were plugged into active threat feeds or maintained close relationships with vendors and peer groups were better positioned to respond quickly. But even with the best information, the window between vulnerability discovery and exploitation is shrinking. This means that patching can no longer be a quarterly or even monthly exercise for critical infrastructure—it needs to be as close to real-time as possible. Moving from infrastructure to identity, another key development centers on Azure Active Directory Conditional Access. Researchers recently identified a method to bypass these policies by registering phantom devices and abusing Primary Refresh Tokens, or PRTs. This technique allows attackers to circumvent multi-factor authentication and gain unauthorized access to cloud resources. The implications here are significant. Many organizations rely on Conditional Access as a cornerstone of their cloud security posture, assuming that device compliance and MFA are sufficient barriers. But this new bypass method shows that attackers are finding creative ways to exploit gaps in device registration and token management. To address this, organizations need to strengthen device management processes, monitor for unusual or unauthorized device registrations, and regularly review their Conditional Access configurations. It’s also a good time to revisit assumptions about identity security—especially as AI-driven attacks become more sophisticated and capable of mimicking legitimate user behavior. Supply chain risk is another area that continues to generate headlines. Panorama Studios International recently disclosed a cybersecurity incident at a third-party service provider. While the details are still emerging, the incident underscores a hard truth: even if your own defenses are strong, your exposure is only as limited as the weakest link in your supply chain. Third-party breaches can lead to data exposure, operational disruption, and reputational damage. This is why robust third-party risk assessments, contractual security requirements, and incident response plans that include vendors are no longer optional—they’re essential.

    14 min

  3. 4D AGO

    Daily Cyber & AI Briefing — 2026-05-06

    Daily Cyber & AI Briefing with Michael Housch. This episode was published automatically and includes the assembled audio plus full transcript. TranscriptToday’s cyber and AI risk landscape is defined by rapid change, persistent threats, and a growing convergence between traditional cybersecurity and artificial intelligence. As we look at the state of play right now, it’s clear that organizations face a complex mix of technical vulnerabilities, regulatory pressures, and operational challenges—many of which are being amplified by the explosive growth of AI in both attack and defense. Let’s start with the most urgent development: a critical zero-day vulnerability in Palo Alto Networks firewalls, tracked as CVE-2026-0300. This is a root-level remote code execution flaw in PAN-OS, and it’s being actively exploited in the wild. What makes this particularly dangerous is that attackers don’t need to authenticate—meaning they can execute arbitrary code on affected firewalls from anywhere. For organizations relying on Palo Alto firewalls to secure their network perimeters, this is a severe risk. Palo Alto Networks is planning to release patches starting May 13, but that’s still several days away. In the meantime, organizations are being urged to implement all available mitigations immediately. This situation highlights the ongoing need for rapid vulnerability management and continuous monitoring of perimeter devices. If you’re responsible for security operations, now is the time to double-check your exposure, ensure temporary mitigations are in place, and prepare for urgent patch deployment as soon as updates become available. This incident isn’t happening in isolation. Just this week, a Department of Defense contractor was exposed by a zero-authentication flaw that enabled cross-tenant data access in a multi-tenant cloud environment. Attackers, in this case, could potentially access sensitive data across organizational boundaries—without proper authentication. This is a stark reminder of the risks inherent in shared cloud architectures and the critical importance of rigorous identity and access management. Multi-tenancy is a core feature of many modern cloud services, but it also introduces new attack surfaces. When authentication controls fail, the blast radius can be significant—potentially exposing data from multiple customers or business units. For security leaders, this means prioritizing not only strong authentication and authorization controls but also continuous monitoring for anomalous access patterns that might indicate cross-tenant compromise. The risks aren’t limited to digital assets. In Taiwan, a sophisticated radio signal spoofing attack disrupted the country’s high-speed rail network. Attackers manipulated train control signals, forcing emergency stops and halting three trains. This is a textbook example of a cyber-physical exploit—where digital manipulation leads to real-world disruption. For organizations operating critical infrastructure, this event underscores the need to prioritize operational technology security and robust incident response planning. OT environments, such as rail networks, power grids, and manufacturing plants, often have unique security challenges. Legacy systems, proprietary protocols, and a lack of segmentation can make these environments particularly vulnerable to targeted attacks. The Taiwan incident should serve as a wake-up call: cyber-physical risks are not theoretical. They can—and do—result in tangible disruption, safety concerns, and reputational damage. Turning to AI, the landscape is evolving at a breakneck pace. A recent report from Gigamon found that AI was implicated in 83% of recent security breaches. In other words, the vast majority of breaches now involve AI—either as a tool used by attackers or as a factor in defensive gaps. This is a dramatic shift from even a year ago. Attackers are leveraging AI to automate rec

    15 min

  4. 5D AGO

    Daily Cyber & AI Briefing — 2026-05-05

    Daily Cyber & AI Briefing with Michael Housch. This episode was published automatically and includes the assembled audio plus full transcript. TranscriptToday’s briefing focuses on the accelerating convergence of artificial intelligence and cyber risk, a trend that’s reshaping the threat landscape for organizations of all sizes and sectors. As AI adoption surges, the gap between implementation and effective governance is widening, exposing enterprises to new and often unanticipated risks. Meanwhile, cybercriminals are scaling up their operations, leveraging automation and machine-speed attacks to exploit vulnerabilities faster than ever before. Let’s break down the most pressing developments, their practical implications, and what risk leaders should prioritize right now. Let’s start with the big picture: AI is being integrated into business processes at a remarkable pace. According to new research from ISACA, organizations across industries are rapidly deploying AI solutions, but they’re struggling to keep up when it comes to governance and measuring return on investment. This disconnect is more than just an operational headache—it’s a direct risk amplifier. When AI systems are rolled out without clear oversight, organizations face increased exposure to issues like data leakage, algorithmic bias, and a growing list of regulatory compliance challenges. For risk executives, this means that AI governance can’t be an afterthought. Frameworks need to be established up front, and they should be tightly aligned with business objectives and the organization’s risk appetite. Without this alignment, the benefits of AI can be quickly overshadowed by the costs of unmanaged risk. The message from ISACA’s research is clear: prioritizing AI governance isn’t just about checking a box for compliance—it’s about ensuring that AI investments actually deliver value without opening the door to new vulnerabilities. Building on that, Infosecurity Magazine is highlighting a related concern: the speed of AI deployment is outpacing the development of safety and security policies. In other words, organizations are racing to implement AI, but they’re not putting the necessary controls in place to manage the associated risks. This is especially concerning as AI becomes embedded in critical business operations, from customer service to supply chain management and beyond. For CISOs and security leaders, the takeaway is straightforward: it’s time to accelerate the development and enforcement of AI-specific security controls. That includes updating incident response plans to account for AI-driven threats and ensuring that teams are trained to recognize and respond to incidents involving autonomous or semi-autonomous systems. The risks aren’t hypothetical—without robust policies, organizations are leaving themselves exposed to data breaches, manipulation of AI outputs, and even the possibility of AI systems being co-opted by malicious actors. Now, let’s turn to the threat landscape itself, which remains highly active and increasingly automated. Fortinet is sounding the alarm on what they describe as “industrial scale” cybercrime. Attackers are now operating at machine speed, using automation to continuously scan for and exploit vulnerabilities. This shift means that the traditional, manual approaches to threat detection and response are no longer sufficient. Organizations with slow patching cycles or limited monitoring capabilities are at particular risk, as attackers can now identify and exploit weaknesses within hours—or even minutes—of a vulnerability being disclosed. To keep pace, security leaders need to invest in automation, not just for offense but for defense. That means deploying automated patch management, real-time threat intelligence, and continuous monitoring solutions that can match the speed of adversaries. It’s also about building a culture of agility within security teams—empowering the

    15 min

  5. 6D AGO

    Daily Cyber & AI Briefing — 2026-05-04

    Daily Cyber & AI Briefing with Michael Housch. This episode was published automatically and includes the assembled audio plus full transcript. TranscriptToday’s cyber and AI risk landscape is shaped by two converging forces: a surge in critical vulnerabilities across core infrastructure, and the rapid evolution of AI-driven threats and governance challenges. We’re seeing zero-day exploits in foundational platforms like the Linux kernel and cPanel, with active targeting of government and military systems. At the same time, the adoption of AI across enterprises is introducing new risks around data, identity, and autonomy—risks that traditional security models are struggling to keep up with. Let’s break down the most pressing developments and what they mean for security leaders and organizations navigating this complex environment. First, the Linux kernel zero-day vulnerability. CISA has issued an alert on a flaw that’s being actively exploited in the wild. This isn’t just another patch cycle—this vulnerability enables privilege escalation and remote code execution, which means attackers can gain deep access to Linux-based systems. Given Linux’s prevalence in everything from servers to cloud infrastructure, the risk is broad and immediate. Organizations relying on Linux should treat this as a top priority: patch now, and ensure your vulnerability management processes are continuous and adaptive. This is a textbook example of why real-time threat intelligence and rapid response capabilities are essential. If you’re not already monitoring for signs of exploitation or lateral movement, now is the time to start. Closely related is the critical cPanel and WHM vulnerability. This one’s particularly concerning because it’s not just theoretical—there are confirmed compromises of government and military servers. Attackers are exploiting this flaw to gain unauthorized access, potentially exfiltrating sensitive data. CISA’s alert underscores the urgency here. If your organization uses cPanel, especially in high-value or regulated environments, you need to review your exposure, apply patches immediately, and monitor for any signs of compromise. This incident also serves as a reminder: administrative interfaces are high-value targets, and they require the same level of scrutiny and protection as your core business systems. Moving to file transfer platforms, MOVEit is facing critical vulnerabilities that allow for authentication bypass. These flaws are being actively targeted, raising the risk of both data theft and ransomware attacks. MOVEit is widely used for secure file transfers, often handling sensitive or regulated data. The practical implication? Security teams need to expedite patching, review access logs for any suspicious activity, and reassess the third-party risk associated with these platforms. Don’t assume your file transfer solution is secure by default—regularly validate configurations and monitor for signs of abuse. Supply chain attacks are also evolving. Threat actors have hijacked SAP npm packages, using them to steal developer credentials and secrets. This is a classic supply chain compromise, but it’s targeting the software development pipeline itself. The risk here is twofold: not only can attackers gain access to sensitive internal systems, but they can also potentially insert malicious code into downstream applications. For CISOs, this means it’s time to double down on monitoring package repositories, enforcing least privilege for developer credentials, and implementing automated scanning for malicious code in dependencies. The days of trusting upstream packages without verification are over. On the law enforcement front, the Department of Justice has sentenced two Americans involved in ALPHV, also known as BlackCat, ransomware operations. While this is a positive step, it doesn’t mean the ransomware threat is going away. In fact, ransomware groups are highly res

    12 min

  6. APR 30

    Daily Cyber & AI Briefing — 2026-04-30

    Daily Cyber & AI Briefing with Michael Housch. This episode was published automatically and includes the assembled audio plus full transcript. TranscriptToday’s cyber and AI risk landscape is shaped by two powerful and converging forces: the relentless exploitation of critical software vulnerabilities, and the rapid, sometimes unchecked, adoption of artificial intelligence across every sector. The risks are immediate and evolving, and the stakes are higher than ever. In this briefing, we’ll break down the most pressing threats, explore the latest regulatory and industry responses, and highlight what risk leaders need to do now to stay ahead. Let’s start with the cyber front, where attackers continue to exploit zero-day vulnerabilities in widely used platforms. The most urgent case right now is a critical authentication bypass vulnerability in cPanel & WHM. For context, cPanel is one of the most popular web hosting control panels, powering millions of websites and applications globally. This particular vulnerability allowed attackers to gain unauthorized access to administrative functions—essentially giving them the keys to the kingdom. What’s especially concerning is that this flaw was exploited as a zero-day for several months before it was publicly disclosed and patched. Proof-of-concept code is now available, making it even easier for opportunistic attackers to target unpatched systems. Active exploitation is ongoing. For organizations relying on cPanel, the implications are severe: data breaches, service disruptions, and the potential for widespread compromise. The immediate takeaway is clear—patching cannot wait. Security leaders must move quickly to apply available updates and, just as importantly, review access logs for any signs of compromise. Delayed response at this stage could mean the difference between a contained incident and a full-blown breach. A similar story is unfolding with ASUSTOR ADM, the operating system behind ASUSTOR’s network-attached storage devices. A proof-of-concept exploit for a critical remote code execution vulnerability has been released, allowing attackers to gain root access. For organizations using these NAS devices—often as central repositories for sensitive data—this is a direct path to full system compromise and data exfiltration. The risk is especially high for devices exposed to the internet. Here, too, the guidance is straightforward but urgent: patch immediately, and if possible, segment these devices from the broader network to limit exposure. For any internet-facing NAS, consider additional monitoring and, if feasible, restrict access to trusted IPs only. These incidents reinforce a hard truth: zero-days are not rare events, and attackers move quickly. Continuous vulnerability management and rapid incident response are not optional—they’re foundational to resilience. Shifting to the AI landscape, we’re seeing a dramatic acceleration in adoption, but the governance and compliance frameworks needed to manage AI risk are lagging behind. Senior industry leaders are sounding the alarm about a critical shortfall in AI compliance. Many organizations, especially outside of the tech sector, simply don’t have robust frameworks in place to ensure responsible AI deployment. The absence of clear ownership and governance structures creates a perfect storm for regulatory breaches, ethical lapses, and reputational harm. This isn’t just a theoretical concern. Australia’s financial regulator recently issued a stark warning to banks about the risks posed by ungoverned AI systems. The message: without robust oversight and governance, AI-driven decision-making can lead to systemic failures and regulatory non-compliance. The financial sector is often the canary in the coal mine for emerging risks, and this warning should resonate across industries. If you’re a risk leader in financial services—or any sector rapidly integrating AI—the time to

    13 min

  7. APR 29

    Daily Cyber & AI Briefing — 2026-04-29

    Daily Cyber & AI Briefing with Michael Housch. This episode was published automatically and includes the assembled audio plus full transcript. TranscriptThe cyber and AI risk landscape is evolving at a pace that’s challenging even the most prepared organizations. Today, we’re seeing a rapid escalation in both the sophistication and industrialization of cyber threats, with artificial intelligence now playing a central role on both sides of the equation. AI is empowering defenders, but it’s also giving attackers unprecedented capabilities to automate, scale, and innovate their tactics. Europol’s latest Internet Organised Crime Threat Assessment, or IOCTA, is a stark reminder of how quickly the threat environment is changing. The report highlights a significant shift toward industrialized cybercrime, where AI isn’t just a tool—it’s a core enabler. Threat actors are using AI to automate everything from reconnaissance and phishing to malware development. This means attacks are not only faster, but they’re also more scalable and harder to detect using traditional methods. For security leaders, this is a call to action. The old playbook—relying on static defenses and manual processes—isn’t enough. Threat models need to be reassessed, and organizations must invest in AI-driven defensive capabilities. This includes advanced threat intelligence, automated detection, and response systems that can keep pace with adversaries who are leveraging AI at every stage of the attack lifecycle. Let’s talk about some of the specific threats making headlines right now. The Cybersecurity and Infrastructure Security Agency, or CISA, has issued an immediate directive for federal agencies to patch critical vulnerabilities in Windows and ConnectWise platforms. These aren’t hypothetical risks—these are zero-day vulnerabilities that are actively being exploited in the wild. They’ve been added to CISA’s Known Exploited Vulnerabilities catalog, which means attackers are already using them to compromise systems. This isn’t just a government problem. These vulnerabilities are likely to be targeted broadly, affecting organizations across sectors. The lesson here is simple: patch management is not optional. It’s foundational. Organizations need to prioritize patching, monitor for signs of compromise, and ensure they have robust processes in place to respond quickly when new vulnerabilities are disclosed. Another development to watch is the emergence of VECT 2.0, a new ransomware strain that’s targeting multiple operating systems. Unlike earlier generations of ransomware that focused mainly on Windows, VECT 2.0 has cross-platform capabilities. It can hit Windows, Linux, and macOS environments, which is a big concern for organizations with diverse IT infrastructures. This raises the stakes for endpoint protection. Security teams should review their coverage across all operating systems and double down on backup and recovery processes. With ransomware, the ability to restore systems quickly can mean the difference between a minor incident and a business-crippling event. But the technical threats are only half the story. There’s a growing recognition of what’s being called the “last-mile” problem in AI security. As AI systems become more autonomous—what we refer to as agentic AI—they’re increasingly making decisions and taking actions without direct human oversight. Traditional identity and access management, or IAM, solutions were designed for users and static applications. They’re simply not equipped to handle the unique risks posed by AI agents that can act independently, sometimes outside of predefined workflows. This gap in controls exposes organizations to new attack vectors and compliance risks. Imagine an AI agent that’s authorized to access sensitive data, but then starts making decisions or sharing information in ways that weren’t anticipated. Legacy IAM can’t effectively govern or contain thes

    14 min

  8. APR 28

    Daily Cyber & AI Briefing — 2026-04-28

    Daily Cyber & AI Briefing with Michael Housch. This episode was published automatically and includes the assembled audio plus full transcript. TranscriptToday’s cyber and AI risk landscape is defined by rapid change, persistent threats, and a growing gap between innovation and governance. Across industries, organizations are accelerating their adoption of AI, integrating it into business processes, customer engagement, and even critical infrastructure. Yet, as these technologies proliferate, so do the risks—many of which remain hidden beneath the surface. Let’s start with a stark statistic from a recent Lenovo study: 70% of enterprise AI is currently uncontrolled. What does “uncontrolled” mean in this context? Essentially, these are AI systems and tools operating outside of formal governance frameworks. They might be embedded in third-party applications, spun up by business units without IT involvement, or even integrated by employees through shadow IT. The implications are significant. Without oversight, these AI assets can introduce data leakage risks, compliance violations, and operational inefficiencies. They can also drive up costs and slow down return on investment, as organizations struggle to manage and optimize what they can’t see. For security and risk leaders, this is a call to action. Inventorying and monitoring all AI assets—whether internally developed, purchased, or hidden within third-party tools—must become a top priority. If organizations fail to address uncontrolled AI, they risk regulatory penalties, reputational damage, and the loss of trust among customers and partners. The message is clear: you can’t secure what you don’t know exists. While organizations grapple with hidden AI, threat actors are evolving their tactics as well. One recent example is the Silver Fox malware campaign. This campaign stands out for its use of highly convincing phishing emails, masquerading as tax audit alerts or urgent software updates. The attackers are leveraging social engineering to bypass traditional email defenses, luring both individuals and organizations into downloading malicious payloads. The sophistication of these lures means that even well-trained users can be caught off guard. The practical takeaway here is twofold. First, user awareness training remains essential, but it must be ongoing and adaptive to new threat vectors. Second, technical controls—such as advanced email filtering and rapid incident response capabilities—are critical to containing the damage when, inevitably, someone clicks. Silver Fox is a reminder that phishing campaigns continue to be a primary entry point for attackers, and that layered defenses are more important than ever. But phishing isn’t the only game in town. Attackers are also exploiting technical vulnerabilities at a rapid pace. A newly discovered zero-click vulnerability in Windows, for example, allows attackers to bypass Microsoft Defender SmartScreen protections without any user interaction. This means malware can be delivered simply by visiting a compromised website or opening a malicious file—no clicks required. The risk of drive-by infections and targeted attacks increases significantly in this scenario. For organizations, the response must be proactive. Patch management is critical—vulnerabilities like this are often exploited within days of disclosure. Monitoring for suspicious activity at the endpoint level, and deploying layered defenses that go beyond a single security control, can help reduce exposure to zero-day threats. The reality is that attackers are always looking for the path of least resistance, and zero-click exploits are among the most dangerous tools in their arsenal. Visibility is a recurring theme in today’s risk environment, and it’s not just a technical issue. Recent research shows that two-thirds of UK organizations lack visibility into what their staff are sharing with AI systems. With the w

    14 min
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 The Daily Cyber Briefing delivers concise, no-fluff updates on the latest cybersecurity threats, breaches, and regulatory changes. Each episode equips listeners with actionable insights to stay ahead of emerging risks in today’s fast-moving digital landscape. 

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